You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ansible/test/units/modules/network/nso/test_nso_query.py

57 lines
2.2 KiB
Python

#
# Copyright (c) 2017 Cisco and/or its affiliates.
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
from __future__ import (absolute_import, division, print_function)
from units.compat.mock import patch
from ansible.modules.network.nso import nso_query
from . import nso_module
from .nso_module import MockResponse
AnsiballZ improvements Now that we don't need to worry about python-2.4 and 2.5, we can make some improvements to the way AnsiballZ handles modules. * Change AnsiballZ wrapper to use import to invoke the module We need the module to think of itself as a script because it could be coded as: main() or as: if __name__ == '__main__': main() Or even as: if __name__ == '__main__': random_function_name() A script will invoke all of those. Prior to this change, we invoked a second Python interpreter on the module so that it really was a script. However, this means that we have to run python twice (once for the AnsiballZ wrapper and once for the module). This change makes the module think that it is a script (because __name__ in the module == '__main__') but it's actually being invoked by us importing the module code. There's three ways we've come up to do this. * The most elegant is to use zipimporter and tell the import mechanism that the module being loaded is __main__: * https://github.com/abadger/ansible/blob/5959f11c9ddb7b6eaa9c3214560bd85e631d4055/lib/ansible/executor/module_common.py#L175 * zipimporter is nice because we do not have to extract the module from the zip file and save it to the disk when we do that. The import machinery does it all for us. * The drawback is that modules do not have a __file__ which points to a real file when they do this. Modules could be using __file__ to for a variety of reasons, most of those probably have replacements (the most common one is to find a writable directory for temporary files. AnsibleModule.tmpdir should be used instead) We can monkeypatch __file__ in fom AnsibleModule initialization but that's kind of gross. There's no way I can see to do this from the wrapper. * Next, there's imp.load_module(): * https://github.com/abadger/ansible/blob/340edf7489/lib/ansible/executor/module_common.py#L151 * imp has the nice property of allowing us to set __name__ to __main__ without changing the name of the file itself * We also don't have to do anything special to set __file__ for backwards compatibility (although the reason for that is the drawback): * Its drawback is that it requires the file to exist on disk so we have to explicitly extract it from the zipfile and save it to a temporary file * The last choice is to use exec to execute the module: * https://github.com/abadger/ansible/blob/f47a4ccc76/lib/ansible/executor/module_common.py#L175 * The code we would have to maintain for this looks pretty clean. In the wrapper we create a ModuleType, set __file__ on it, read the module's contents in from the zip file and then exec it. * Drawbacks: We still have to explicitly extract the file's contents from the zip archive instead of letting python's import mechanism handle it. * Exec also has hidden performance issues and breaks certain assumptions that modules could be making about their own code: http://lucumr.pocoo.org/2011/2/1/exec-in-python/ Our plan is to use imp.load_module() for now, deprecate the use of __file__ in modules, and switch to zipimport once the deprecation period for __file__ is over (without monkeypatching a fake __file__ in via AnsibleModule). * Rename the name of the AnsiBallZ wrapped module This makes it obvious that the wrapped module isn't the module file that we distribute. It's part of trying to mitigate the fact that the module is now named __main)).py in tracebacks. * Shield all wrapper symbols inside of a function With the new import code, all symbols in the wrapper become visible in the module. To mitigate the chance of collisions, move most symbols into a toplevel function. The only symbols left in the global namespace are now _ANSIBALLZ_WRAPPER and _ansiballz_main. revised porting guide entry Integrate code coverage collection into AnsiballZ. ci_coverage ci_complete
6 years ago
from units.modules.utils import set_module_args
class TestNsoQuery(nso_module.TestNsoModule):
module = nso_query
@patch('ansible.module_utils.network.nso.nso.open_url')
def test_nso_query(self, open_url_mock):
xpath = '/packages/package'
fields = ['name', 'package-version']
calls = [
MockResponse('login', {}, 200, '{}', {'set-cookie': 'id'}),
MockResponse('get_system_setting', {'operation': 'version'}, 200, '{"result": "4.5"}'),
MockResponse('new_trans', {'mode': 'read'}, 200, '{"result": {"th": 1}}'),
MockResponse('query',
{'xpath_expr': xpath, 'selection': fields}, 200,
'{"result": {"results": [["test", "1.0"]]}}'),
MockResponse('logout', {}, 200, '{"result": {}}'),
]
open_url_mock.side_effect = lambda *args, **kwargs: nso_module.mock_call(calls, *args, **kwargs)
AnsiballZ improvements Now that we don't need to worry about python-2.4 and 2.5, we can make some improvements to the way AnsiballZ handles modules. * Change AnsiballZ wrapper to use import to invoke the module We need the module to think of itself as a script because it could be coded as: main() or as: if __name__ == '__main__': main() Or even as: if __name__ == '__main__': random_function_name() A script will invoke all of those. Prior to this change, we invoked a second Python interpreter on the module so that it really was a script. However, this means that we have to run python twice (once for the AnsiballZ wrapper and once for the module). This change makes the module think that it is a script (because __name__ in the module == '__main__') but it's actually being invoked by us importing the module code. There's three ways we've come up to do this. * The most elegant is to use zipimporter and tell the import mechanism that the module being loaded is __main__: * https://github.com/abadger/ansible/blob/5959f11c9ddb7b6eaa9c3214560bd85e631d4055/lib/ansible/executor/module_common.py#L175 * zipimporter is nice because we do not have to extract the module from the zip file and save it to the disk when we do that. The import machinery does it all for us. * The drawback is that modules do not have a __file__ which points to a real file when they do this. Modules could be using __file__ to for a variety of reasons, most of those probably have replacements (the most common one is to find a writable directory for temporary files. AnsibleModule.tmpdir should be used instead) We can monkeypatch __file__ in fom AnsibleModule initialization but that's kind of gross. There's no way I can see to do this from the wrapper. * Next, there's imp.load_module(): * https://github.com/abadger/ansible/blob/340edf7489/lib/ansible/executor/module_common.py#L151 * imp has the nice property of allowing us to set __name__ to __main__ without changing the name of the file itself * We also don't have to do anything special to set __file__ for backwards compatibility (although the reason for that is the drawback): * Its drawback is that it requires the file to exist on disk so we have to explicitly extract it from the zipfile and save it to a temporary file * The last choice is to use exec to execute the module: * https://github.com/abadger/ansible/blob/f47a4ccc76/lib/ansible/executor/module_common.py#L175 * The code we would have to maintain for this looks pretty clean. In the wrapper we create a ModuleType, set __file__ on it, read the module's contents in from the zip file and then exec it. * Drawbacks: We still have to explicitly extract the file's contents from the zip archive instead of letting python's import mechanism handle it. * Exec also has hidden performance issues and breaks certain assumptions that modules could be making about their own code: http://lucumr.pocoo.org/2011/2/1/exec-in-python/ Our plan is to use imp.load_module() for now, deprecate the use of __file__ in modules, and switch to zipimport once the deprecation period for __file__ is over (without monkeypatching a fake __file__ in via AnsibleModule). * Rename the name of the AnsiBallZ wrapped module This makes it obvious that the wrapped module isn't the module file that we distribute. It's part of trying to mitigate the fact that the module is now named __main)).py in tracebacks. * Shield all wrapper symbols inside of a function With the new import code, all symbols in the wrapper become visible in the module. To mitigate the chance of collisions, move most symbols into a toplevel function. The only symbols left in the global namespace are now _ANSIBALLZ_WRAPPER and _ansiballz_main. revised porting guide entry Integrate code coverage collection into AnsiballZ. ci_coverage ci_complete
6 years ago
set_module_args({
'username': 'user', 'password': 'password',
'url': 'http://localhost:8080/jsonrpc',
'xpath': xpath,
'fields': fields,
'validate_certs': False
})
self.execute_module(changed=False, output=[["test", "1.0"]])
self.assertEqual(0, len(calls))